Triple

T23080643
Position Surface form Disambiguated ID Type / Status
Subject Nøklevann E575458 entity
Predicate locatedNear P294 FINISHED
Object Skullerud
Skullerud is a residential and recreational area in Oslo, Norway, known for its proximity to forests, lakes, and outdoor activity trails.
 E1570247 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Skullerud | Statement: [Nøklevann, locatedNear, Skullerud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skullerud
Context triple: [Nøklevann, locatedNear, Skullerud]
  • A. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • B. Svenkerud
    Svenkerud is a Norwegian surname most notably borne by Peer Jacob Svenkerud, a 19th-century politician and farmer.
  • C. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • D. Eidsvold
    Eidsvold is a rural town in Queensland, Australia, known historically for cattle grazing and gold mining along the Burnett River.
  • E. Skotterud
    Skotterud is a village in Eidskog Municipality in Innlandet county, Norway, serving as a local administrative and service center near the Swedish border.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Skullerud
Triple: [Nøklevann, locatedNear, Skullerud]
Generated description
Skullerud is a residential and recreational area in Oslo, Norway, known for its proximity to forests, lakes, and outdoor activity trails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skullerud
Target entity description: Skullerud is a residential and recreational area in Oslo, Norway, known for its proximity to forests, lakes, and outdoor activity trails.
  • A. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • B. Svenkerud
    Svenkerud is a Norwegian surname most notably borne by Peer Jacob Svenkerud, a 19th-century politician and farmer.
  • C. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • D. Eidsvold
    Eidsvold is a rural town in Queensland, Australia, known historically for cattle grazing and gold mining along the Burnett River.
  • E. Skotterud
    Skotterud is a village in Eidskog Municipality in Innlandet county, Norway, serving as a local administrative and service center near the Swedish border.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c67e06881908d24d6267bb49553 completed April 29, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b0a6ac819085f13e7bdc82840f completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c175e246081909d6451f245ccfe66 completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1820a4d88190aed59f50b4e7ec47 completed May 19, 2026, 7:58 a.m.
Created at: April 17, 2026, 3:56 p.m.